Results 141 to 150 of about 16,759,811 (301)
The indoor scene parsing visual results on NYUDv2 dataset including or not including depth images.
, 2018 ‘SIEANs_RGB’ means the visual results generated by the SIEANs on RGB images, and ‘SIEANs_RGB-D’ means the visual results generated by the SIEANs on RGB-D images.
ShuHui Bu (5094824) +4 more
core +1 more source
Advanced Science, EarlyView.FES‐derived MGE spheroids exhibit progenitor‐stage alterations in developmental trajectory and hypoxia‐responsive transcriptional programs, followed by functional disruption. Gestational hypoxia recapitulates impaired progenitor proliferation, shortened cell‐cycle progression, interneuron developmental abnormalities, and schizophrenia‐like behaviors in
Peiyan Ni +17 more
wiley +1 more source
RGB-D video mirror detection [PDF]
Mirror detection aims to identify mirror areas in a scene, with recent methods either integrating depth information (RGB-D) or making use of temporal information (video).
Wu, Jing +4 more
core +1 more source
Advanced Science, EarlyView.Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source
Advanced Science, EarlyView.An electronics‐free smart scleral lens passively monitors dry eye disease‐related tear biomarkers through colorimetric sensing of chloride, pH, and ocular surface temperature. Smartphone‐assisted image analysis enables quantitative interpretation, providing a simple, non‐invasive strategy for ocular health monitoring without integrated electronics ...
Ziheng Wang +15 more
wiley +1 more source
Multi-Object Tracking Algorithm for RGB-D Images Based on Asymmetric Dual Siamese Networks. [PDF]
Sensors (Basel), 2020 Zhang WL, Yang K, Xin YT, Zhao TS.
europepmc +1 more source
Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs
, 2017 Scene recognition with RGB images has been extensively studied and has reached very remarkable recognition levels, thanks to convolutional neural networks (CNN) and large scene datasets.
Herranz, Luis +5 more
core +1 more source
Advanced Science, EarlyView.A new class of lysosome‐directed molecular glue degraders selectively enhance CAPRIN1–APP interactions, driving APP degradation and reducing amyloid‐β production in human neurons and Alzheimer's disease mouse models. This CAPRIN1‐dependent targeted protein degradation strategy reveals a previously unrecognized therapeutic approach for disrupting the ...
Sunghan Jung +15 more
wiley +1 more source
Approximate Depth Shape Reconstruction for RGB-D Images Captured from HMDs for Mixed Reality Applications. [PDF]
J Imaging, 2020 Awano N.
europepmc +1 more source
Advanced Science, EarlyView.ABSTRACT Mechanophores with mechanochromic properties have attracted significant attention as force‐responsive materials for structural sensing. However, their applications remain mainly limited to qualitative force visualization, as direct and quantitative extraction of mechanical parameters such as stress and strain from mechanochromic responses has ...
Seungo Baek +8 more
wiley +1 more source